{"id":"W3206437839","doi":"10.2139/ssrn.3915791","title":"Immigration Detention meets Evidence Law: a discussion paper","year":2021,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"European Criminal Justice and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Immigration detention; Law; Political science; Immigration; Criminology; Criminal law; Law and economics; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002559196,0.00008346914,0.00008427838,0.00003997662,0.001060022,0.0002056219,0.0001592219,0.00006255929,0.0001232192],"category_scores_gemma":[0.0004376662,0.0000609675,0.00008805824,0.0002107901,0.00006514151,0.001444789,0.00003410415,0.0007957902,0.0001082917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006176382,"about_ca_system_score_gemma":0.001493422,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001078398,"about_ca_topic_score_gemma":0.05660298,"domain_scores_codex":[0.9976069,0.000561452,0.0002044132,0.0001930243,0.0004239235,0.001010238],"domain_scores_gemma":[0.9994302,0.00004965344,0.0001190829,0.0001265872,0.0001893773,0.00008511532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007843984,0.00007567355,0.000160205,0.00001530953,0.00003791642,0.00002807027,0.002581319,0.000008326839,0.02706551,0.8128059,0.0002230462,0.1569203],"study_design_scores_gemma":[0.0009171512,0.0008120101,0.001900118,0.000744888,0.0005175432,0.0007975,0.1811562,0.00009659592,0.003419741,0.4566755,0.3521852,0.0007775139],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4956508,0.04564329,0.2375822,0.1698249,0.004695387,0.001152036,0.00001077679,0.0005304339,0.04491024],"genre_scores_gemma":[0.9726999,0.02241168,0.0001509172,0.0002811352,0.0006990259,0.000003724585,0.000006662758,0.00001089558,0.003736109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4770491,"threshold_uncertainty_score":0.9606115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0278310496814185,"score_gpt":0.3122560784097508,"score_spread":0.2844250287283323,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}